9 September 2026
Slimstock has announced its formal entry into Mexico as part of its expansion across Latin America, where the company expects to grow by 65%, supported by a dedicated local team serving Mexico and Central America.
This move is driven by a clear assessment of the challenges currently facing Mexican supply chains. Nearshoring, the rise of omnichannel commerce, aggressive promotional activity, and fluctuating lead times between Asia and the United States have made demand increasingly difficult to predict.
Many businesses across the region still rely on Excel, ERP systems and the experience of planners to manage operations. However, these tools are no longer sufficient when the challenge extends beyond forecasting accuracy. To remain competitive, organisations must identify changes in demand early, improve product availability, free up working capital and reduce obsolescence.
To address these challenges, Slimstock is bringing its AI-powered solutions to Mexico and Central America. These solutions help businesses across a wide range of industries optimise their supply chains through more accurate demand forecasting and planning, combined with inventory management capabilities that automate processes and improve operational efficiency.
“In Mexico, we often see important decisions being made using incomplete information or data that arrives too late. AI does not replace human expertise; it identifies where demand has changed first and automates repetitive tasks, allowing planners to focus on promotions, suppliers or stock shortages that genuinely require judgement and experience,” explained Irma Moreno, Sales Director for Mexico and Central America at Slimstock.
As part of its introduction to the Mexican market, Slimstock hosted an inaugural event in collaboration with the National Council of Logistics and Supply Chain Executives (ConaLog), bringing together supply chain leaders to discuss these challenges. The event provided an excellent opportunity for industry professionals to share experiences and perspectives on how businesses can move beyond intuition and traditional processes towards a more intelligent, predictive and prescriptive approach to logistics.
In supply chains that are increasingly exposed to shifts in demand, reacting quickly when the market changes is no longer enough. Decision-making must evolve from being reactive to becoming predictive.
We remain committed to driving transformation and helping organisations build more agile, resilient and data-driven supply chains across Mexico.
